Triple

T18195081
Position Surface form Disambiguated ID Type / Status
Subject Götaplatsen cultural complex E435639 entity
Predicate hasView P854 FINISHED
Object Avenyn (Kungsportsavenyen) NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Avenyn (Kungsportsavenyen) | Statement: [Götaplatsen cultural complex, hasView, Avenyn (Kungsportsavenyen)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avenyn (Kungsportsavenyen)
Context triple: [Götaplatsen cultural complex, hasView, Avenyn (Kungsportsavenyen)]
  • A. Kungsportsavenyen chosen
    Kungsportsavenyen is a major boulevard and central thoroughfare in Gothenburg, Sweden, known for its shops, restaurants, and cultural venues.
  • B. Sveavägen
    Sveavägen is a major thoroughfare in central Stockholm, Sweden, known for its commercial activity and historical significance.
  • C. Klarabergsgatan
    Klarabergsgatan is a major central street in Stockholm, Sweden, known for its busy commercial activity and role as a key thoroughfare in the Norrmalm district.
  • D. Nybrogatan
    Nybrogatan is a prominent street in Stockholm’s upscale Östermalm district, known for its boutiques, restaurants, and vibrant city life.
  • E. Kungsgatan
    Kungsgatan is a major central street in Stockholm, Sweden, known for its early 20th-century architecture, bustling shops, and iconic twin towers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d2ad5881909d846f3851ac9ec9 completed April 19, 2026, 2:04 p.m.
Created at: April 10, 2026, 10:31 a.m.